plot: Plotting 'spatPomp' data

In spatPomp: Inference for Spatiotemporal Partially Observed Markov Processes

Plotting spatPomp data

Description

Visualize spatPomp data

Diagnostic plot for igirf()

Visualize spatPomp data

Usage

## S4 method for signature 'igirfd_spatPomp'
plot(x, params = names(coef(x)), ncol = 3)

## S4 method for signature 'spatPomp'
plot(x, type = c("l", "h"), log = F, plot_unit_names = T, ...)

Arguments

x	a spatPomp object
params	the names of the parameters for which the user would like to see a trace plot
ncol	the number of columns in the grid plot
type	for visualizing an object of class spatPomp, the user can obtain a grid of line plots by default ('l') or a heat map by supplying argument 'h'.
log	should the data be log-transformed before plotting? This helps in contexts where there are spikes that could take away attention from the dynamics illustrated by the rest of the data.
plot_unit_names	allows suppression of unit names when making a heat map for a large number of units
...	for visualizing an object of class spatPomp, the user can add arguments like nrow to specify the number of rows in the grid.

Value

a ggplot facet plot of class ‘gg’ and ‘ggplot’ visualizing the convergence record of running igirf() with respect to the likelihood and the parameters of the model.

a ggplot plot of class ‘gg’ and ‘ggplot’ visualizing the time series data over multiple spatial units via a tile-plot.

spatPomp documentation built on Aug. 10, 2023, 1:10 a.m.